Glen Berseth is an assistant professor at the Université de Montréal, a core academic member of Mila, Canada CIFAR AI chair, and co-director of the Robotics and Embodied AI Lab (REAL). He was a Postdoctoral Researcher with Berkeley Artificial Intelligence Research (BAIR) working in the Robotic AI & Learning (RAIL) lab with Sergey Levine. Glen completed his NSERC-supported Ph.D. in Computer Science at the University of British Columbia in 2019, where he worked with Michiel van de Panne. His previous and current research has focused on solving sequential decision-making problems (planning) for real-world autonomous learning systems (robots). The specific of his research has covered the areas of human-robot collaboration, reinforcement, continual-, meta-, multi-agent, and hierarchical learning. Dr. Berseth has published across the top venues in robotics, machine learning, and computer animation in his work. He also teaches a course on robot learning at Université de Montréal and Mila, covering the most recent research on machine learning techniques for creating generalist robots.